What are the future trends in transfer learning?

What are the future trends in transfer learning?

Future trends in transfer learning include advancements in few-shot learning, domain adaptation, and self-supervised learning.

How will few-shot learning impact industries?

Few-shot learning will enable industries to train models with minimal data, making AI more accessible and efficient.

What is domain adaptation?

Domain adaptation is a technique that allows a model trained on one domain to perform well on a different but related domain.

Can you give examples of self-supervised learning applications?

Self-supervised learning is used in natural language processing, computer vision, and speech recognition to improve model performance without labeled data.